How to Use the Bilibili Live MCP in OpenAI Agents SDK

Q: Does the server support live title updates?

The server exposes updateroomtitle to change the stream's title on the fly. Your agent can trigger this action when it detects a change in stream content or viewer milestones.

Build production-grade OpenAI Agents SDK systems that monitor Bilibili Live rooms, query chat feeds, and update stream titles.

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Connect Bilibili Live MCP to OpenAI Agents SDK

Create your Vinkius account to connect Bilibili Live to OpenAI Agents SDK and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup Bilibili Live with OpenAI Agents SDK

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Track Bilibili Live streams using OpenAI Agents SDK

The `get_room_play_info` tool pulls real-time playback URLs so your OpenAI Agents SDK agent can monitor active Bilibili Live broadcasts. The OpenAI dashboard traces these streaming metadata queries automatically, letting you audit connection latency. You can configure a dedicated watchdog agent to query `get_room_info` when a stream starts. If the Bilibili broadcast drops, the framework hands off the recovery task to a secondary agent to fetch the updated room configuration.

Moderate live chat with this Bilibili Live MCP Server

The `get_super_chats` tool extracts paid messages directly into your OpenAI Agents SDK pipeline for immediate processing. Your agent evaluates the Bilibili transaction text against safety guardrails before formulating a response. It uses `send_danmu` to post automated chat replies back to the Bilibili Live broadcast room. This setup keeps your automated moderation loop secure and fully logged in your telemetry dashboard.

Identify high-value viewers in your Python agent

The `get_fans_medal_info` tool checks a viewer's fan level in your target Bilibili Live room to help your OpenAI Agents SDK routing system categorize incoming messages. This MCP tool checks user tiers, allowing your agent to prioritize responses for loyal community members. It queries `get_guard_list` to fetch active Captains and Admirals, passing this roster to specialized sub-agents. By filtering Bilibili viewers by their support tier, your system avoids wasting API tokens on spam accounts.

Setup guide

Set up Bilibili Live MCP in OpenAI Agents SDK

Prerequisites

Python 3.10+ installed
openai-agents package (pip install openai-agents)
Active Vinkius subscription with a valid endpoint token

1

Install the SDK

Run pip install openai-agents to install the OpenAI Agents SDK. The MCP integration is built-in — no extra dependencies needed.
2

Connect via SSE transport

Use MCPServerSse with your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. The SDK auto-discovers all Bilibili Live tools at runtime.
3

Create your Agent

Pass the MCP to Agent(mcp_servers=[server]). The agent receives Bilibili Live tools as native definitions — JSON schemas resolve automatically.
4

Run the agent

Call Runner.run(agent, prompt) to execute. The agent invokes the appropriate Bilibili Live tools and returns structured results. Copy the full example on the right to get started.

agent.py

import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerSse

async def main():
    async with MCPServerSse(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as server:
        agent = Agent(
            name="Bilibili Live Agent",
            instructions="You have access to Bilibili Live tools.",
            mcp_servers=[server],
        )
        result = await Runner.run(agent, "List recent transactions")
        print(result.final_output)

asyncio.run(main())

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Bilibili Live. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Common questions about Bilibili Live MCP in OpenAI Agents SDK

Configure the connection using the MCP Server HTTP parameters and pass it to your OpenAI Agents SDK agent constructor. The framework auto-discovers the tools, letting your agent read live Bilibili room data immediately.

Yes, you should set cacheToolsList to True in your configuration to avoid redundant tool-discovery requests. This speeds up runtime execution when your OpenAI Agents SDK agent queries live Bilibili chat.

The SDK's built-in guardrails validate agent actions before they execute, protecting your developer account from spamming Bilibili Live. You can also implement rate-limiting middleware to throttle your agent's danmaku messages.

The server exposes `update_room_title` to change the stream's title on the fly. Your agent can trigger this action when it detects a change in stream content or viewer milestones.

Your stream URLs, virtual gift logs, and viewer fan medal levels remain inside the ephemeral sandbox run by the Vinkius MCP platform. The platform never stores your developer credentials or chat logs on disk.

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